The Golob Lab

Transforming microbiome insights into practical benefits for patients using AI/ML.

Projects

Persistent Symptoms in Quiescent IBD

Targeting the microbiome to reduce persistent symptoms after treating inflammation in inflammatory bowel disease

IBD De-escalation

Identify inflammatory bowel disease patients with quiescent disease sutiable for de-escalation of therapy

Preterm Birth

Identify pregnancies at risk for preterm birth using AI/ML models trained on microbiome data

Software

famli

Accurate quantification of protein-coding sequences from short read ‘shotgun’ metagenomic data via addressing …

Pycorncob

A python implementation of beta-binomial modeling for count-based data, inspired by the R corncob library.

Phylotypes

Create biologically-meaningful taxonomy-free compositional features from technically diverse 16S rRNA gene based microbiome data

ARF

Obtain and curate full-length 16S rRNA alleles from NCBI

Geneshot

A reference-free gene oriented WGS analysis workflow

Maliampi

A workflow to harmonize technically diverse 16S rRNA based microbiome data

Meet the Team

Principal Investigator

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Jonathan Golob, M.D., Ph.D.

Assistant Professor

Microbiome Science, Infectious Disease, Immunocompromised Hosts

Recent Publications